Hydrogen sulfide (H2S) emitted from various sources is a major odorous compound, and non-thermal plasma (NP) has emerged as a promising technique to eliminate H2S. This study was conducted to investigate lab-scale and pilot-scale NP reactors using corona discharge for the removal of H2S, and the effects of relative humidity, applied electrical power on reactor performance and ozone generation were determined. A gas stream containing H2S was injected to the lab-scale NP reactor, and the changes in H2S and ozone concentration were monitored. In the pilotscale NP experiment, the inlet concentration and flow rate were modified to determine the effect of relative humidity and applied power on the NP performance. In the lab-scale NP experiments, H2S removal was found to be the 1st-order reaction in the presence of ozone. On the other hand, when plasma reaction and ozone generation were initiated after H2S was introduced, the H2S oxidation followed the 0th-order kinetics. The ratio of indirect oxidation by ozone to the overall H2S removal was evaluated using two different experimental findings, indicating that approximately 70% of the overall H2S elimination was accounted for by the indirect oxidation. The pilotscale NP experiments showed that H2S introduced to the reactor was completely removed at low flow rates, and approximately 90% of H2S was eliminated at the gas flow rate of 15 m3/min. Furthermore, the elimination capacity of the pilot-scale NP was 3.4 g/m3·min for the removal of H2S at various inlet concentrations. Finally, the experimental results obtained from both the lab-scale and the pilot-scale reactor operations indicated that the H2S mass removal was proportional to the applied electrical power, and average H2S masses removed per unit electrical power were calculated to be 358 and 348 mg-H2S/kW in the lab-scale and the pilot-scale reactors, respectively. To optimize energy efficiency and prevent the generation of excessive ozone, an appropriate operating time of the NP reactor must be determined.

In this paper, we utilize a Gaussian process to predict the power consumption in the air-conditioning system. As the power consumption in the air-conditioning system takes a form of a time-series and the prediction of the power consumption becomes very important from the perspective of the efficient energy management, it is worth to investigate the time-series model for the prediction of the power consumption. To this end, we apply the Gaussian process to predict the power consumption, in which the Gaussian process provides a prior probability to every possible function and higher probabilities are given to functions that are more likely consistent with the empirical data. We also discuss how to estimate the hyper-parameters, which are parameters in the covariance function of the Gaussian process model. We estimated the hyper-parameters with two different methods (marginal likelihood and leave-one-out cross validation) and obtained a model that pertinently describes the data and the results are more or less independent of the estimation method of hyper-parameters. We validated the prediction results by the error analysis of the mean relative error and the mean absolute error. The mean relative error analysis showed that about 3.4% of the predicted value came from the error, and the mean absolute error analysis confirmed that the error in within the standard deviation of the predicted value. We also adopt the non-parametric Wilcoxon’s sign-rank test to assess the fitness of the proposed model and found that the null hypothesis of uniformity was accepted under the significance level of 5%. These results can be applied to a more elaborate control of the power consumption in the air-conditioning system.

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer’s perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. ARMA(2,1,2)(1,1,1)7 and ARMA (0,1,1)(1,1,0)12 are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

In this paper, we investigate how the power consumption of a heat pump dryer depends on various factors in the drying process by analyzing variables that affect the power consumption. Since there are in general many variables that affect the power consumption, for a feasible analysis, we utilize the principal component analysis to reduce the number of variables (or dimensionality) to two or three. We find that the first component is correlated positively to the entrance temperature of various devices such as compressor, expander, evaporator, and the second, negatively to condenser. We then model the power consumption as a multiple regression with two and/or three transformed variables of the selected principal components. We find that fitted value from the multiple regression explains 80~90% of the observed value of the power consumption. This results can be applied to a more elaborate control of the power consumption in the heat pump dryer.

It is essential to decrease energy consumption and excess sludge to economically operate sewage treatment plant. This becomes more important along with a ban on sea dumping and exhaustion of resource. Therefore, many researchers have been study on energy consumption reduction and strategies for minimization of excess sludge production from the activated sludge process. The aeration cost account for a high proportion of maintenance cost because sufficient air is necessary to keep nitrifying bacteria activity of which the oxygen affinity is inferior to that of heterotrophic bacteria. Also, additional costs are incurred to stabilize excess sludge and decrease the volume of sludge. There were anoxic, aerobic, membrane, deairation and concentration zone in this MBR process. Continuous aeration was provided to prevent membrane fouling in membrane zone and intermittent aeration was provided in aerobic zone through ammonia sensor. So, there was the minimum oxygen to remove NH4-N below limited quantity that could be eliminated in membrane zone. As the result of this control, energy consumption of aeration system declined by between 10.4 % and 19.1 %. Besides, we could maintain high MLSS concentration in concentration zone and this induced the microorganisms to be in starved condition. Consequentially, the amount of excess sludge decrease by about 15 %.

다이오드 정류기가 AC-DC 컨버터로 산업현장에서 널리 응용되고 있다. 그러나 입력전류에 많은 저차고조파가 포함되어 전력변환 장치의 공급전압을 왜곡시켜 전력의 품질을 저하시키므로 이를 완화시킬 수 있는 적절한 설비가 필요하다. 이러한 문제점들을 개선하기 위해 본 논문에서는 정류기의 출력단에 보조 전원장치를 설치하여 고조파를 저감하는 장식을 제안하였다.

In a mobile-rack which is applied to shelving or storage units fitted with wheeled traction, 2 step gear ratio and document management system by using RFID based on power line communication are proposed. Each part of the mobile-rack is modeled and then analyzed by finite-element method. Considering the maximum stress and the weight, wheel housing is redesigned. 15.56㎒ RFID module and management program are developed and tested.

In this study, We have taken LED lamps which are widely used recently, applied it to training ship's cabin and lounge, cafeteria, engine control room and analyzed the power consumption and illumination with existing fluorescent. Replacing 40W, 20W of fluorescents with 22W, 11W of same number of LED lamps, It showed 45% of power consumption savings and resulted to more than 20% of illumination improvement. If applied to all areas of the ship, It would surely contribute to great amount of energy savings and illumination improvement.

본 논문에서는 도심지 지하에 터널 전력구를 건설하는 경우 시공단계별 영향을 고려한 구조해석을 수행하였다. 해석대상의 도심지 지하에는 여러 종류의 다양한 라이프라인 구조체가 설치되어 있다. 터널전력구의 구조해석에는 지반체의 유한요소해석 프로그램인 MPDAP을 사용하였다. 라이프라인 구조체와 터널 전력구 사이의 이격거리가 가장 작은 대표적인 3개의 단면에 대하여 구조해석을 수행하였다. 터널의 굴착단계별 유한요소해석에서 발생되는 평형불균형성 문제는 평형섭동개념을 적용하여 해결하였다. 또한 터널 굴착에 의한 시간의존 변형의 영향은 하중분담율을 사용하여 시공단계별로 고려하였다. 본 연구에서 검토한 3개의 대표단면에서는 터널 전력구 주변 지반체에서 발생하는 최대변위값은 허용변위값이내를 보여주었다.

ZnO thin films co-doped with Mg and Ga (MxGyZzO, x+y+z=1, x=0.05, y=0.02 and z=0.93) were preparedon glass substrates by RF magnetron sputtering with different sputtering powers ranging from 100W to 200W at a substratetemperature of 350oC. The effects of the sputtering power on the structural, morphological, electrical, and optical propertiesof MGZO thin films were investigated. The X-ray diffraction patterns showed that all the MGZO thin films were grown asa hexagonal wurtzite phase with the preferred orientation on the c-axis without secondary phases such as MgO, Ga2O3, orZnGa2O4. The intensity of the diffraction peak from the (0002) plane of the MGZO thin films was enhanced as the sputteringpower increased. The (0002) peak positions of the MGZO thin films was shifted toward, a high diffraction angle as thesputtering power increased. Cross-sectional field emission scanning electron microscopy images of the MGZO thin filmsshowed that all of these films had a columnar structure and their thickness increased with an increase in the sputtering power.MGZO thin film deposited at the sputtering power of 200W showed the best electrical characteristics in terms of the carrierconcentration (4.71×1020cm−3), charge carrier mobility (10.2cm2V−1s−1) and a minimum resistivity (1.3×10−3Ωcm). A UV-visible spectroscopy assessment showed that the MGZO thin films had high transmittance of more than 80% in the visibleregion and that the absorption edges of MGZO thin films were very sharp and shifted toward the higher wavelength side, from270nm to 340nm, with an increase in the sputtering power. The band-gap energy of MGZO thin films was widened from3.74eV to 3.92eV with the change in the sputtering power.

에너지 위기의식이 급격히 고조되고 지속 가능한 친환경 에너지원이 이슈화되면서 휴대용 전자기기 산업의 발전은 전원을 공급하기 위한 새로운 에너지원을 요구하고 있으며, 이러한 점에서 언제 어디서나 전력 수확을 가능하게 하는 인체 전력에너지 수확 시스템의 연구가 요청된다. 인체 에너지를 수확하는 방식의 하나인 열전은 인체와 주위 환경간의 온도차이로부터 에너지를 수확하는 방식으로, 본 연구에서는 열전수확에 적합한 의복의 구조와 소재를 탐색하여 인체 전력에너지 수확의류를 위한 기초적 지침을 마련하고자 하였다. 이를 위해 의복의 폐쇄부 구조에 따른 환경 온도와 의복내 온도 간의 차이를 분석하고, 의복의 소재에 따른 환경 온도와 의복내 온도 간의 차이를 도출하였다. 분석 결과, 의복구조에 따른 의복내 온도에 있어서는 인체 부위에 따른 차별화된 결과를 얻을 수 있었는데, 가슴과 등 부위에서는 '폐쇄부 유'의 의복구조인 경우가 '폐쇄부 무' 의복구조에 비하여 의복내 온도가 더 높은 것으로 나타났고, 팔 부위에서 다리 부위로 갈수록 '폐쇄부 유'와 '폐쇄부 무'의 의복구조에 따른 의복내 온도의 차이가 줄어들었다. 한편, 의복소재에 따른 환경 온도와 의복내 온도 간의 차이를 분석한 결과, 두 소재 중 하나의 소재가 일관성 있게 더 높은 온도를 보이지는 않았으며, 인체 부위별로 차이를 보였다. 이러한 의복구조와 소재에 따른 환경 온도와 의복내 온도 간의 차이 결과를 토대로, 인체 전력에너지 수확의류를 위한 지침을 도출하였다.

The purpose of this study was to assess power loss in the computer and office automation equipment and identified a way to save power consumptions through field measurement. In this study, the meaning of standby power was to consume power while waiting for the use of any electronic equipment. This standby consumption was about 11% of total power consumption even though we did not seriously realize it. Therefore, it was very important to measure accurate power consumption at the standby status of electronic equipment. In addition, it also helped to reduce potential risks of electricity associated disasters. This study proposed the way to reduce power losses through automatic turn off switches for power outlets and switches. Finally, this study can evaluate power consumption patterns that can reduce power consumptions and potential risks of power related disasters. This also can achieve the goals of sustainability that can reduce environmental impacts by lowering energy consumptions and greenhouse gas emissions.

태양광 또는 풍력을 이용해 발생된 에너지를 효율적으로 저장과 사용을 위한 납 축전지의 성능을 향상 시키기 위해 전해액을 Semi-gel화 하여 납축전지에 적용하여 시험한 결과, 다음과 같은 결과를 얻었다. Semi-gel 전해액은 silica를 5wt.% 혼합한 전해액이 1시간 30분경과 시 gel화가 시작되었다. 이는 전해액이 격리판과 극판 활물질 내부까지 완전히 스며들기에 충분한 시간으로 가장 적정한 gel화 시간을 나타내었다. Semi-gel 전해액을 사용한 납축전지와 액상 전해액을 사용한 납축전지의 방전 성능을 비교한 결과, 저율방전 성능은 semi-gel전해액이, 고율방전 성능은 액상 전해액이 높은 성능을 나타내었다. 이는 gel 전해액의 경우 액상 전해액에 비해 반응속도가 느려 고율방전 성능이 낮은 것으로 나타내었다. 수명성능을 DOD 10%, DOD 100%로 시험한 결과, 5%-silica 전해액이 액상 전해액을 사용한 납축전지에 비해 우수한 수명 성능을 나타내었다. 이는 Semi-gel상 태의 전해액이 납축전지 내부 화학반응 시 발생하는 gas의 재결합 효율을 높여 전해액 감액량이 최소화로 한 결과로 수명성능에서 큰 차이를 나타내었다. 태양광, 풍력 등과 같은 에너지 저장 효율을 높이고, 수명성능을 향상시키기 위해 전해액에 5%-silica전해액을 사용하면 전해액의 감액량이 최소로 되어 DOD 100% 수명시험의 경우 4.8%, DOD 10% 수명시험의 경우 20%의 수명성능이 향상되었다.

본 논문은 절연유 불포함 재활용 가능 전력케이블 절연체에 동일배열 폴리프로필렌(IPP) 기반 열가소성 폴리올레핀 엘라스토머(TPO) 나노복합체 사용 가능성을 문헌적으로 고찰한 리뷰논문이다. 2010년 IPP 기반 나노복합 유전체는 파워 커패시터 연구에서 유전손실을 제외한 고전압 특성이 크게 향상되었다. IPP 기반 TPO 나노복합체 사용 자동차 외장부품 연구에서는 나노충전제 최대 3 wt% 함유로 전력케이블 절연체의 필수특성인 저온 충격성을 비롯한 기계적 특성향상이 보고 되었다. 특히 유전손실의 원천인 상용화제 사용의 최소화 기술이 보고되어, 3 wt% 이하 나노충전제 함유 IPP 기반 TPO의 전기적 특성조사가 필요하다.

세계각국에서 홍수, 태풍과 같은 자연재해가 많이 발생하고 있다. 이러한 자연재해가 발생하는 원인으로는 지구온실가스 배출 증가에 따른 지구온난화 현상 때문이다. 지구온난화를 막기 위해, 많은 연구진들이 신재생에너지에 대한 연구를 진행하고 있다. 정부는 온실가스배출량을 감축하여 지구온난화를 막기위해 "저탄소 녹색성장"의 국가정책 하에서 신재생에너지와 같은 친환경적인 녹색산업에 많은 관심과 투자에 집중하고 있다. 연구팀들은 도로를 주행하는 차량으로부터 전달되는 역학전 에너지를 이용하여 신재생에너지를 생산하는 연구를 진행하고 있다. 본 논문에서는 압전세라믹의 크기와 연결방식에 따른 연구 결과를 나타내고 있다. 또한 실험변수에 따른 압전세라믹의 파워특성을 측정하여 분석을 하였다.

This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user’s interface for